Remote Sensing Digital Image Analysis: An Introduction [Hardcover]

John A. Richards (Author)

Book Description

Publication Date: July 28, 1993 | ISBN-10: 3540548408 | ISBN-13: 978-3540548409 | Edition: 2nd, rev. and enlarged ed.

From the reviews of the first edition: "Quantitative evaluation of satellite and aircraft derived and remotely retrieved data is a increasingly important tool for all ecologists. The author fulfills his stated aim of providing an introductory text for non-specialists. The book introduces all the basic concepts necessary to facilitate quantitative evaluation of digital remotely sensed data in such a way that the reader can appreciate limitations of computer-based algorithms and the pros and cons of alternative procedures without having to follow a mathematically detailed treatment. Each of the eleven chapters concludes with a critical appraisal of the associated bibliography and with a collection of problems, presumably aimed at undergraduate students, but of considerable use to the single reader as well." #Ecomod - The ISEM Newsletter#1 Now in its second edition this well established introductory text presents the complete spectrum of acquisition, analysis and processing of remotely sensed image data. The revisions reflect the developments in satellite and sensor programs as well as new processing techniques. A new chapter is devoted to knowledge-based image processing.

Editorial Reviews

From the Back Cover

Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter. This fourth edition has been developed to reflect the changes that have occurred in this area over the past several years. Its focus is on those procedures that seem now to have become part of the set of tools regularly used to perform thematic mapping. As with previous revisions, the fundamental material has been preserved in its original form because of its tutorial value; its style has been revised in places and it has been supplemented if newer aspects have emerged in the time since the third edition appeared. It still meets, however, the needs of the senior student and practitioner. --This text refers to an alternate Hardcover edition.

Product Details

• Hardcover: 340 pages
• Publisher: Springer; 2nd, rev. and enlarged ed. edition (July 28, 1993)
• Language: English
• ISBN-10: 3540548408
• ISBN-13: 978-3540548409
• Shipping Information: View shipping rates and policies
• Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)

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Most Helpful Customer Reviews

19 of 20 people found the following review helpful:

5.0 out of 5 stars One of the best books in remote sensing, July 18, 2001

By 

Jorge Lira Chavez (Mexico, DF Mexico) - See all my reviews

This review is from: Remote Sensing Digital Image Analysis: An Introduction (Hardcover)

The book by John Richards and Xiuping Jia is one of the best introductory books in the field of remote sensing. This work may be used as a textbook in a one semester course. This book is well organized, technically correct, with a reasonable level of mathematics for those new in the field.

2 of 2 people found the following review helpful:

5.0 out of 5 stars The techniques of image processing in remote sensing, November 28, 2009

By 

calvinnme - See all my reviews
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This review is from: Remote Sensing Digital Image Analysis: An Introduction (Kindle Edition)

This book does not introduce you to image analysis and image processing itself. For that topic, in depth see Digital Image Processing (3rd Edition) for a general text on the subject that is very accessible.

This book looks at problems specific to remotely sensed images and their understanding and shows concrete techniques for solving the problems. It's not just a recipe book as there is a good bit of explanation shown too, but it is not a mathematician's book either. It is a practitioner's book. For example, it deals with statistical methods to deal with striping - the problem that sensors used to collect image data do not have the same response. That is not a topic you'd see in Gonzalez and Woods, but you might see the technique mentioned - histogram matching - and now at last you have a use for it.

The following is the table of contents since it is not listed in the product description:
1. Sources and characteristics of remote sensing image data.
2. Error Correction and Registration of image data.
3. The Interpretation of image data.
4. Radiometric enhancement techniques
5. Geometric enhancement using image domain techniques
6. Multispectral transformations of image data
7. Fourier transformation of image data
8. Supervised classification techniques
9. Clustering and unsupervised classification
10. Feature reduction
11. Image classification methodologies
12. Multisource and multisensor methods
13. Interpretation of hyperspectral image data
A. Missions and sensors
B. Altitudes and periods
C. Binary representation of decimal numbers
D. Essential results from vector and matrix algebra
E. Some fundamental material from probability and statistics
F. Penalty function derivative of the maximum likelihood rule

This is not a book on using the computer to solve complex problems, thus there is no programming involved. You need a well-rounded background in image processing, statistics, matrix algebra, and geometric transformations of images in order to get the most from this book. I highly recommend it.

5.0 out of 5 stars Remote Sensing, January 22, 2010

By 

T. T. Ramah (CA, USA) - See all my reviews

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This review is from: Remote Sensing Digital Image Analysis: An Introduction (Hardcover)

This is a must read for anyone interested (and serious) in remote sensing and digital image analysis. This is not as an introductory book as it claims to be so be aware of that, and some chapters requires a good understanding of math (algebra). If you are advanced in RS then get this book as reference, you won't regret it.